Muhammad Zaid Bamber
Leicester,Leicestershire
Summary
A highly motivated and analytical Data Analytics graduate with a strong academic background and a passion for leveraging data to drive business insights. Skilled in data processing, statistical analysis, and data visualization, with a solid understanding of big data technologies and frameworks. Eager to apply my knowledge and contribute to data-driven decision-making processes in the industry.
Overview
5
5
years of post-secondary education
Work history
Data Processing Engineer
Wise Data
Leicester, Leicestershire
06.2022 - 09.2022
- Outlined needs to meet end-user requirements.
- Identified current inefficiencies and recommended changing functionality or behaviors to eliminate concerns.
- Virtualized or graphically visualized system operations to identify areas for improvement
- We have partnered with users to understand and define system requirements.
- Facilitated system expansion, modification, and updates.
- Monitored system performance using recognized and agreed to criteria.
- Assessed processes, procedures, and work practices for strengths and weaknesses.
Education
Master of Science - Data Analytics
De Montfort University
Leicester 01.2022 - 06.2023
Bachelor of Science - Computer Science
University of Central Punjab
Pakistan 09.2014 - 06.2018
Skills
- Programming Languages: Python, SQL, SAS
- IT Support
- Data Processing: Hadoop, Spark, MapReduce
- Statistical Analysis: Regression, Classification, Clustering, Time Series Analysis
- Data Visualization: Tableau, Power BI, matplotlib, ggplot
- Machine Learning: Decision Trees, Random Forests
- Data warehouse, ETL Operations
- Gira, GitHub
- Microsoft Office
- Programming and design skills
- Data extraction
- Data mining
- Business process mapping
- Operations analysis
- Technical analysis
- Forecasting and planning
- Data collection and analysis
- Data Cleaning and Wrangling
- Strong Problem-solving and Analytical Skills
- Technology architecture analysis
- Excellent Written and Verbal Communication
Projects
NHS Cancer Patients Data Analysis
- Conducted a comprehensive analysis of cancer patients' data obtained from the National Health Service (NHS).
- Leveraged Tableau to perform data visualization and generate interactive dashboards for clear and insightful representation of findings.
- Focus of the project was on exploring patterns, trends, and key insights to aid in understanding and improving cancer treatment and patient outcomes.
- Identified regions with high or low cancer prevalence, allowing for targeted interventions and resource allocation.
- Conducted statistical analysis and visualizations to identify key trends, patterns, and relationships within the data.
- Developed interactive and visually appealing dashboards using Tableau to present key findings.
- Created various visualizations, including bar charts, line graphs, heat maps, and geographic maps, to effectively communicate data-driven insights.
EDA on Road Safety Accidents in the United Kingdom
- Utilized Python and Pandas for data cleaning, preprocessing, and manipulation.
- Employed PySpark for distributed data processing, allowing for efficient analysis of large datasets.
- Conducted exploratory data analysis to identify trends, patterns, and factors contributing to road accidents.
- Visualized key findings and insights using Seaborn and other data visualization libraries.
- Applied statistical techniques to uncover correlations and relationships between accident attributes.
- Built predictive models using machine learning algorithms to forecast accident severity and identify high-risk areas.
- Technical skills: Python, PySpark, SQL, Pandas, NumPy, PySpark DataFrame API, Seaborn, Matplotlib, Hadoop, Spark, MapReduce
Languages
English
Fluent
Urdu
Native
Timeline
Data Processing Engineer
Wise Data
06.2022 - 09.2022
Master of Science - Data Analytics
De Montfort University
01.2022 - 06.2023
Bachelor of Science - Computer Science
University of Central Punjab
09.2014 - 06.2018
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